Fundamentals Of Applied Probability And Random Processes

Author: Oliver Ibe
Publisher: Academic Press
ISBN: 0128010355
Size: 48.71 MB
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Fundamentals Of Applied Probability And Random Processes from the Author: Oliver Ibe. The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Fundamentals Of Applied Probability And Random Processes

Author: Oliver Ibe
Publisher: Academic Press
ISBN: 0080492703
Size: 23.24 MB
Format: PDF, ePub, Docs
View: 1359
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Fundamentals Of Applied Probability And Random Processes from the Author: Oliver Ibe. This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. * Good and solid introduction to probability theory and stochastic processes * Logically organized; writing is presented in a clear manner * Choice of topics is comprehensive within the area of probability * Ample homework problems are organized into chapter sections

Fundamentals Of Applied Probability And Random Processes

Author: Oliver C. Ibe
Publisher: Academic Press
ISBN: 9780128008522
Size: 23.85 MB
Format: PDF, Kindle
View: 773
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Fundamentals Of Applied Probability And Random Processes from the Author: Oliver C. Ibe. The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers' understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Intuitive Probability And Random Processes Using Matlab

Author: Steven Kay
Publisher: Springer Science & Business Media
ISBN: 0387241582
Size: 19.65 MB
Format: PDF, ePub, Mobi
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Intuitive Probability And Random Processes Using Matlab from the Author: Steven Kay. Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.

Fundamentals Of Probability And Statistics For Engineers

Author: T. T. Soong
Publisher: John Wiley and Sons
ISBN: 9780470868133
Size: 12.72 MB
Format: PDF, ePub
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Fundamentals Of Probability And Statistics For Engineers from the Author: T. T. Soong. This title has been prepared very much with students and their needs in mind. Having been classroom tested over many years, it is a true learner's book, made for students who require a deeper understanding of probability and statistics and the process ofmodel selection.

Schaum S Outline Of Theory And Problems Of Probability Random Variables And Random Processes

Author: Hwei Piao Hsu
Publisher: Schaum's Outline Series
ISBN: 9780070306448
Size: 54.95 MB
Format: PDF
View: 1876
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Schaum S Outline Of Theory And Problems Of Probability Random Variables And Random Processes from the Author: Hwei Piao Hsu. Designed for students in various disciplines of engineering, science, mathematics, management and business, this effective study tool includes hundreds of problems with step-by-step solutions and another 150 problems with hints or delayed answers. The solved problems illustrate and strongly reinforce vital theory and techniques. Topics taught include functions of random variables; expectation and limit theorems; and estimation theory, decision theory and queuing theory.

Probability Random Processes And Statistical Analysis

Author: Hisashi Kobayashi
Publisher: Cambridge University Press
ISBN: 1139502611
Size: 62.62 MB
Format: PDF
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Probability Random Processes And Statistical Analysis from the Author: Hisashi Kobayashi. Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Stochastic Processes

Author: Peter Watts Jones
Publisher: Oxford University Press
ISBN: 9780340806548
Size: 46.77 MB
Format: PDF, ePub, Docs
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Stochastic Processes from the Author: Peter Watts Jones. In this textbook the authors present an accessible introduction to stochastic processes for students in courses that have substantial mathematics or statistics content. It assumes that students have completed the usual first-year methods courses in calculus, differential equations and linear algebra, as well as an introductory course in probability. The book covers random walks, Markov chains, birth and death processes, queues, reliability, and renewal and branching processes.

Theory Of Probability And Random Processes

Author: Leonid Koralov
Publisher: Springer Science & Business Media
ISBN: 3540688293
Size: 45.19 MB
Format: PDF, ePub, Docs
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Theory Of Probability And Random Processes from the Author: Leonid Koralov. A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of this book. It provides a comprehensive and self-contained exposition of classical probability theory and the theory of random processes. The book includes detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. It also includes the theory of stationary random processes, martingales, generalized random processes, and Brownian motion.